MAX-ResNet-50
Image classifier
An image classification model using the ResNet-50 architecture, trained on the ImageNet dataset.
Identify objects in images using a first-generation deep residual network.
14 stars
22 watching
18 forks
Language: Python
last commit: almost 3 years ago
Linked from 1 awesome list
docker-imagekerasmachine-learningmachine-learning-models
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | An image classification model using a third-generation deep residual network. | 27 |
| | An image segmentation system that identifies objects in an image and assigns each pixel to a particular object. | 32 |
| | An image classification model for recognizing physical places and locations | 41 |
| | This project provides a Python implementation of high-resolution networks for image classification on ImageNet. | 971 |
| | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
| | An implementation of PNASNet-5 architecture in TensorFlow for image classification on ImageNet. | 102 |
| | PyTorch implementation of wide residual networks for image classification tasks on CIFAR-10 and CIFAR-100 datasets | 462 |
| | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 366 |
| | A convolutional neural network architecture for biomedical image segmentation | 430 |
| | An implementation of a new neural network architecture that combines the strengths of convolutional and transformer designs to improve performance on image classification tasks. | 559 |
| | A Lua-based implementation of a multi-GPU training framework for image classification using the Alexnet model. | 4 |
| | This project provides a pre-trained video classification model that categorizes sports videos into their respective sports. | 23 |
| | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
| | An implementation of Squeeze-and-Excitation Networks in MXNet for image classification tasks. | 155 |
| | An open-source implementation of dilated residual networks for image classification and segmentation tasks. | 1,104 |